Forthcoming and Online First Articles

International Journal of Society Systems Science

International Journal of Society Systems Science (IJSSS)

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International Journal of Society Systems Science (3 papers in press)

Regular Issues

  • The Role of Sustainable Progressive Education in Poverty Reduction in India   Order a copy of this article
    by Anandita Ahuja 
    Abstract: The purpose of this paper is to emphasize the urgency of the United Nations Sustainable Development Goal (SDG) number 1, i.e. No poverty. The approach used to give poverty reduction techniques is given by underlining the importance of quality education (SDG Goal no. 4) in poverty alleviation in three areas namely, social exclusion, health & hygiene and income growth. The paper uses a theoretical approach to give a hypothesis on changes required in the existing Indian educational system, with focus on inclusion of humanistic education and well-being. The hypothesis stated here is called Sustainable Progressive Education and is supported by ideas on the Capability Development Approach by economist Amartya Sen. There is also a mention of the states of Bihar and Assam in India that put a heavy weight on the worlds population and on poverty. Towards the conclusion, the paper focuses on framework and ideas to implement the discussed improvements in the educational institutions.
    Keywords: Poverty; Education; Sustainability; Humanism; Capability.
    DOI: 10.1504/IJSSS.2021.10040030
  • Constructing an Anti-Asian Hate Indicator for Pandemic-related Comments from Mainstream Media YouTube Channels   Order a copy of this article
    by Xin Wang, Xi Chen, Bodian Li, Peng Zhao 
    Abstract: Anti-Asian racism, linked to COVID-19, has become a serious social problem in the United States and all over the world and even led to hate crime and violence. Even though the current anti-Asian hate study focuses anti-Asian hate classification using machine learning and sentiment analysis toward tweets, this study provides a novel pandemic-news-related anti-Asian hate indicator to depict the anti-Asian hate shift of YouTube mainstream media commentary section. A new dataset for daily hate signal generation, which contains over 1 million YouTube comments, has been generated in this study. To train the classifier, 3,759 comments are sampled and manually labeled as hate and non-hate. In the model selection among machine learning and deep learning algorithms, a CNN model is selected as the best one with a 95% accuracy and a 0.99 AUC score, which can classify 1,433,246 comments.
    Keywords: COVID-19; pandemic-related hate; anti-Asian hate indicator; mainstream media; big data analytics; machine learning; deep learning.

  • Segmenting Markets by the 50 American States: The COVID-19 Case   Order a copy of this article
    by Edward T. Vieira, Jr., Yulong Li, Anthony Scotina 
    Abstract: This paper segments the 50 American states by COVID-19 vaccination rates, the Big Five Personality Traits, religiosity, and 2020 presidential election voting patterns in order to understand the states as segments with unique characteristics that make them receptive to persuasive COVID-19 vaccination appeals. Based on the common collective characteristics within each state cluster, we propose recommendations for customizing effective communication strategies and other tactics designed to persuade and facilitate audiences to engage in targeted behaviours. We collected existing Big Five personality trait data across all 50 states, data from two studies that gauged the average intensity of religiosity by state, vaccination data compiled by the New York Times, Biden vote, and governors political affiliation. Next, we deployed a two-step cluster analysis method where we first used a distance measure to separate groups and then a probabilistic approach to choose the optimal subgroup model to classify the states by personality traits, level of religiosity, and political perspective. We found three clusters: Traditionalists (n=22), Progressives (n=23), and Independents (n=5). We discovered positive relationships among resident vaccination rates and three of the Big Five traits and religiosity. Differences by state and national political perspectives were statistically significant.
    Keywords: COVID-19; vaccination rate; Big Five personality traits; religiosity; politics; marketing segmentation; messaging.